根据作品、平台与用户视觉要求设计或生成封面。Use for story-cover direction and confirmed cover generation.

剧本与叙事文本到可拍、可画、可生图分镜的视觉拆解方法。Used for storyboard and image-prompt production.

商业短篇的构思、一次写完、整篇审改与包装。Use for confirmed standalone short-fiction production.

商业短篇市场、平台样本、标题与移动端阅读趋势研究。Use for evidence-based short-fiction market research.

小说、创意与大纲到可演剧本的改编方法。Used for script and short-drama production.

品类中立的开放世界与分支互动推进方法。Used by InkOS Play workers for coherent action, state, time, and scene progression.

长篇小说的场景构造、人物因果、信息释放与连载节奏。Used by InkOS long-form workers as their shared craft method.

长篇小说拆稿、文风分析与可迁移机制提炼。Use when analyzing a full novel or long sample without copying its expression.

互动影游的剧情树、变量旗标、可拍节点、多结局与资产连续性方法。Used for creation and authoring of interactive-film projects.

Search prior Feynman session transcripts on disk. Use when the user asks about earlier research sessions, past findings, or wants to resume a prior session.

Render Markdown or LaTeX research artifacts to HTML or PDF with pandoc. Use when the user wants to review a written artifact, export a report, or view a rendered document.

Read, extract, and cross-check content across scientific PDFs. Use when a task needs methods, figures, tables, citations, accessions, or claims from multiple places in one or more papers.

Bounded research experiment loop that tries hypotheses, measures benchmark evidence, keeps what works, and records what fails. Use when the user asks to optimize a research metric, run an experiment loop, improve model/retrieval/evaluation performance iteratively, or benchmark a research hypothesis.

Search, read, and query research papers via Feynman's alphaXiv-backed alpha tools. Use when the user asks about academic papers, wants to find research on a topic, needs to read a specific paper, ask questions about a paper, inspect a paper's code repository, or manage paper annotations.

Use when choosing an output format for extracted documents — plain text, markdown, djot, HTML, JSON, or DocTags. Maps consumer (LLM, parser, archive) to the right `--format` / `--content-format` pair.

Use when extracting text from scanned PDFs, photographed pages, or images that have no embedded text layer. Covers OCR backends, language packs, force-OCR, and performance tuning.

Use when extracting tabular data from PDFs, spreadsheets, or images. Covers layout-aware table detection, table model selection, output formats (markdown / JSON cells), and known limits.

Use when extracting keywords (YAKE/RAKE) from documents — and, secondarily, when detecting document language or generating embeddings for RAG and search. Covers the keyword config (and its feature gating), `--detect-language`, and the standalone `embed` command with real flags.

Use when splitting extracted text into chunks for LLM context windows or RAG ingestion. Covers chunk size, overlap, markdown/yaml/semantic chunkers, tokenizer-based sizing, and the standalone `chunk` command.

Use when extracting from many files at once with shared config, bounded parallelism, per-file overrides, and error recovery. Covers the `batch` command, `--file-configs`, `--max-concurrent`, and output layout.